Marc Schulder

Marc Schulder

Research Associate in Computational Linguistics

Institute for German Sign Language, Hamburg University

About me

I am a researcher in computational linguistics. After submitting my dissertation on the bootstrapped creation of lexica for sentiment polarity shifters in early 2019, I have now moved into the field of sign language research. As part of the DGS-Korpus project I develop computational methods for the analysis, automatic classification and assisted annotation of German Sign Language (DGS).

Previously I have worked on sentiment analysis, metaphor recognition, and context integration in speech recognition.

I am also the developer of BibTexNanny, a tool that helps you keep your BibTeX bibliography clean and consistent, as well as create streamlined versions of it for individual documents.

Interests
  • Sign Language Linguistics
  • Sentiment Analysis
  • Applied Machine Learning
Education
  • PhD in Computational Linguistics, 2019

  • MSc in Language Science and Technology, 2013

  • BSc in Computational Linguistics, 2011

Recent Publica­tions

(2021). Overview of Datasets for the Sign Languages of Europe. EASIER Deliverable D6.1.

PDF Cite Project DOI

(2021). Automatic Generation of Lexica for Sentiment Polarity Shifters. In Journal of NLE.

PDF Cite Dataset Project DOI

(2020). Data Statement for the Public DGS Corpus. Project Note AP06-2020-01.

PDF Cite Dataset Project DOI

(2020). Extending the Public DGS Corpus in Size and Depth. In SignLang@LREC 2020.

PDF Cite Dataset Project

CV

 
 
 
 
 
Research Associate
March 2019 – Present Hamburg, Germany
 
 
 
 
 
Doctoral Studies in Computational Linguistics
November 2013 – August 2019 Saarbrücken, Germany
 
 
 
 
 

Contact

Marc Schulder